Cited by 25Image and Video Quality AssessmentNetwork Traffic and Congestion ControlIoT and Edge/Fog Computing

A framework of scalable QoE modeling for application explosion in the Internet of Things

Ikeda, Yasuhiro, Kouno, Shouji, Shiozu, Akihiro, Noritake, Katsunori·2016·2016 IEEE 3rd World Forum on Internet of Things (WF-IoT)

Abstract

The Internet of Things (IoT) opens a new horizon for network applications by virtue of wireless sensor network technologies and advancement of data analytics. Since various applications are possible in the IoT compared to conventional multimedia applications, quality of experience (QoE), which is a user's subjective satisfaction with the application, becomes more complicated for network operators to perceive. In this paper, we propose a framework of scalable QoE modeling for explosively increasing applications. In the framework, the massive amount of quality metrics in the IoT architecture are defined as physical metrics and organized into four layers; device, network, computing, and user interface. We also introduce metaphysical metrics, which are the summarized quality metrics that users of IoT applications demand. By aggregating the massive amount of physical metrics into certain metaphysical metrics and qualitatively modeling the QoE by the metaphysical metrics according to the characteristics of the applications, scalable modeling of the QoE for continuously emerging applications in the IoT becomes possible.

Integrity signals

Registry

Crossref · 10.1109/wf-iot.2016.7845393

Cites

14 of 14 references verified0 citation errors · 0 not checkable

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  • Some other existing literature [30,37,38] do not assess how the application QoE relates to the individual components of IoT applications.

    “The same is true with some of the other existing literature [30,37,38], as they do not assess how the application QoE relates to the individual components of IoT applications.”

    From QoE in IoT: a vision, survey and future directions (2021) · cites this paper as [37]

  • They model the application QoE and measure the users experience through subjective evaluations.

    “They model the application QoE and measure the users experience through subjective evaluations.”

    From QoE in IoT: a vision, survey and future directions (2021) · cites this paper as [37]

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Authors
Ikeda, Y., Kouno, S., Shiozu, A., & Noritake, K.
Affiliations
NTT (Japan) (JP)
Venue
2016 IEEE 3rd World Forum on Internet of Things (WF-IoT)
Publisher
IEEE
Published
2016-12
Volume
2016
Pages
425-429
OpenAlex
W2586660623
Cited by
25
References
19
Citations by year
2024: 2 · 2023: 2 · 2022: 3 · 2021: 1 · 2020: 5 · 2019: 6 · 2018: 5 · 2017: 1
FWCI
1.39
Type
conference paper
Language
en
Open access
closed
Locations
  • IEEE World Forum on Internet of Things (WF-IoT) (publishedVersion)
  • IEEE Conference Proceedings
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
  • Physical Sciences › Computer Science › Computer Networks and Communications › Network Traffic and Congestion Control
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
Keywords
Internet of Things, quality of experience, QoE modeling, scalable modeling, IoT applications, quality metrics, multi-layer architecture, user satisfaction, emerging applications

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